AUTOMATIC DETERMINING OF TOKEN SEQUENCE ERRORS IN RESPONSES TO OPEN ANSWER QUESTION IN MOODLE LMS
https://doi.org/10.21686/1818-4243-2014-2(103-79-88
Abstract
The paper reviews the problem of automatic analysis, grading and hinting to the student in the questions, where correct answer must be the correct sentence in the target language in which order of words (tokens) is important. Proposed solution consists of combination of lexical analysis and editing distance analysis. Proposed solution was implemented as a CorrectWriting question type to a popular Moodle LMS. Such question type is useful when teaching programming languages and English as foreign language.
About the Authors
Oleg A. Sychev
Volgograd State Technical University
Russian Federation
Russian Federation
Candidate of Engineering Science, Associate Professor,
the Automated Systems Software Department
Tel.: (905) 434-5345
Dmitry P. Mamontov
Volgograd State Technical University
Russian Federation
Russian Federation
the Automated Systems Software Department
graduate student
Tel.: (927) 523-0472
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Review
For citations:
Sychev O.A., Mamontov D.P. AUTOMATIC DETERMINING OF TOKEN SEQUENCE ERRORS IN RESPONSES TO OPEN ANSWER QUESTION IN MOODLE LMS. Open Education. 2014;(2(103):79-88. (In Russ.) https://doi.org/10.21686/1818-4243-2014-2(103-79-88
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